AL-DeepNovo-DIA
algorithm · CNN + RNN
AL-DeepNovo-DIA: algorithm · CNN + RNN. Active-learning wrapper around Tran et al. 2019’s DeepNovo-DIA. Uses acquisition functions to pick the most informative spectra at each training iteration instead of…
Active-learning wrapper around Tran et al. 2019’s DeepNovo-DIA. Uses acquisition functions to pick the most informative spectra at each training iteration instead of random selection. First published as AL-DeepNovo-DIA (ICML 2022 Workshop on Computational Biology, Ebrahimi & Guo); rebranded ActiveNovo_DIA in Ebrahimi’s 2025 UNT PhD thesis.
| Kind | algorithm |
| Deep learning | yes |
| Acquisition | DIA |
| Also known as | ActiveNovo-DIA, ActiveNovo_DIA |
| Family | CNN + RNN |
Data
What the papers describing this method trained it on and reported its results on, as each paper states it. A version is named only where the paper names one.
Trained on
- DIA_urine_proteomics_biomarker_discovery_abdominal-pain (as deposited)
Evaluated on
- De novo sequencing of DIA data (as deposited)
Paper describing it
- Deep Active Learning for De Novo Peptide Sequencing from Data-independent-acquisition Mass Spectrometry (2022, ICML 2022 Workshop on Computational Biology, ML conference)
Paper using it
An application or evaluation that ran this method. It is not counted among its authors below.